Comparison
WrenAI vs rags
Verdict
Pick WrenAI if wrenAI transforms natural-language queries into SQL and produces visual reports from over twenty supported data sources using an open context layer; pick rags if decision-critical facts for 'rags':.
Markdown twin · WrenAI alternatives · rags alternatives
GraphCanon updated today
Trust & integrity
| Signal | WrenAI | rags |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (865d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- WrenAI
- GenBI for AI agents, turns natural-language questions into trusted dashboards and SQL
- rags
- Build ChatGPT over your data with natural language
Stars
- WrenAI
- 17k
- rags
- 6.5k
Forks
- WrenAI
- 2.0k
- rags
- 656
Open issues
- WrenAI
- 327
- rags
- 37
Language
- WrenAI
- Python
- rags
- Python
Adopt for
- WrenAI
- WrenAI transforms natural-language queries into SQL and produces visual reports from over twenty supported data sources using an open context layer.
- rags
- Decision-critical facts for 'rags':
Persona
- WrenAI
- -
- rags
- -
Runtime
- WrenAI
- -
- rags
- -
License
- WrenAI
- WrenAI is distributed under an open-source Apache 2.0 license, allowing for broad use, modification, and distribution.
- rags
- MIT License
Last pushed
- WrenAI
- Aug 18, 2026
- rags
- Apr 5, 2024
Categories
- WrenAI
- AI Agents, Data & Retrieval
- rags
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- WrenAI
- Very active (96%)
- rags
- Dormant (18%)
Days since push
- WrenAI
- 0d
- rags
- 865d
Open issues (now)
- WrenAI
- 327
- rags
- 37
Stars delta
- WrenAI
- +1.3k (30d)
- rags
- +6 (30d)
Open issues delta
- WrenAI
- -41 (30d)
- rags
- -1 (30d)
OSV dependency advisories
- WrenAI
- No lockfile (source not queried)
- rags
- Published findings
Full report
- WrenAI
- Trust report
- rags
- Trust report
Shared compatibility
- Python · WrenAI: Python runtime · rags: Python runtime
Choose WrenAI if…
- License: WrenAI is Other, rags is MIT.
- Pricing: Free to use with self-hosting capabilities; commercial support available..
- Requirements: Install the CLI using pip (e.g., `pip install wrenai`). Consider regional mirrors like Tsinghua for faster installation in mainland China..
- Tags unique to WrenAI: bigquery, context-engineering, duckdb, genbi.
- When you require a tool that can generate trusted dashboards, charts, and SQL queries directly from natural language inputs.
When NOT to use WrenAI
- For environments where the specific installation instructions for regions like mainland China might be problematic or where direct dependency on certain mirrors could cause operational challenges.
- When a project strictly requires proprietary tools or has licensing constraints that do not align with the Apache 2.0 license of WrenAI.
Choose rags if…
- License: rags is MIT, WrenAI is Other.
- Requirements: Installation leverages poetry for dependency management.; Setup requires configuration with OpenAI key and potentially creating a virtual environment..
- Tags unique to rags: chatbot, chatgpt, llm, openai.
- When leveraging natural language queries over proprietary user data using OpenAI services.
When NOT to use rags
- Not suitable if you seek solutions not dependent on OpenAI's services as the underlying framework is tightly coupled with OpenAI APIs.
- Avoid using rags if your project involves sensitive or highly confidential data since it requires integrating API keys, potentially posing security concerns.
- If your team does not have familiarity or access to Streamlit for app development, you might find setting up and deploying a conversational agent more challenging.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Canner/WrenAI) · observed Aug 18, 2026
- GitHub forks (Canner/WrenAI) · observed Aug 18, 2026
- Last push (Canner/WrenAI) · observed Aug 18, 2026
- License file (Other) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (run-llama/rags) · observed Aug 18, 2026
- GitHub forks (run-llama/rags) · observed Aug 18, 2026
- Last push (run-llama/rags) · observed Apr 5, 2024
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: WrenAI 17k · rags 6.5k (synced Aug 18, 2026).
Common questions
- What is the difference between WrenAI and rags?
- WrenAI: GenBI for AI agents, turns natural-language questions into trusted dashboards and SQL. rags: Build ChatGPT over your data with natural language. See the comparison table for live GitHub stats and shared categories.
- When should I choose WrenAI over rags?
- Choose WrenAI over rags when License: WrenAI is Other, rags is MIT; Pricing: Free to use with self-hosting capabilities; commercial support available.; Requirements: Install the CLI using pip (e.g.,
pip install wrenai). Consider regional mirrors like Tsinghua for faster installation in mainland China.; Tags unique to WrenAI: bigquery, context-engineering, duckdb, genbi; When you require a tool that can generate trusted dashboards, charts, and SQL queries directly from natural language inputs. - When should I choose rags over WrenAI?
- Choose rags over WrenAI when License: rags is MIT, WrenAI is Other; Requirements: Installation leverages poetry for dependency management.; Setup requires configuration with OpenAI key and potentially creating a virtual environment.; Tags unique to rags: chatbot, chatgpt, llm, openai; When leveraging natural language queries over proprietary user data using OpenAI services.
- When should I avoid WrenAI?
- For environments where the specific installation instructions for regions like mainland China might be problematic or where direct dependency on certain mirrors could cause operational challenges. When a project strictly requires proprietary tools or has licensing constraints that do not align with the Apache 2.0 license of WrenAI.
- When should I avoid rags?
- Not suitable if you seek solutions not dependent on OpenAI's services as the underlying framework is tightly coupled with OpenAI APIs. Avoid using rags if your project involves sensitive or highly confidential data since it requires integrating API keys, potentially posing security concerns. If your team does not have familiarity or access to Streamlit for app development, you might find setting up and deploying a conversational agent more challenging.
- Is WrenAI or rags more popular on GitHub?
- WrenAI has more GitHub stars (17,295 vs 6,549). Stars measure visibility, not whether either tool fits your constraints.
- Are WrenAI and rags open source?
- Yes - both are open-source projects on GitHub (WrenAI: Other, rags: MIT).
- Where can I find alternatives to WrenAI or rags?
- GraphCanon lists graph-backed alternatives at WrenAI alternatives and rags alternatives (WrenAI markdown twin, rags markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, WrenAI or rags?
- WrenAI: Very active. rags: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for WrenAI and rags?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: WrenAI trust report; rags trust report.